Metal spraying quality detection method and device

Abstract

The invention discloses a metal spraying quality detection method and device, and the method comprises the steps: obtaining a core metal spraying end face image after metal spraying of a metal spraying machine, carrying out the denoising, enhancement and segmentation, obtaining a plurality of metal spraying region images, extracting various types of metal spraying features in the metal spraying region images, carrying out the detection of all types of metal spraying features, and obtaining a detection result, and generating a quality detection report of the metal spraying area image, determining whether the metal spraying quality corresponding to the metal spraying area image is qualified or not through the quality detection report, and counting all quality detection reports of each metal spraying area image to determine whether the metal spraying quality of the metal spraying machine is qualified or not. Therefore, metal spraying feature recognition and qualification detection are carried out on the image after metal spraying of the metal spraying machine, metal spraying quality detection of the metal spraying machine can be achieved, the cores can be dealt with or removed in time after the cores are detected to be unqualified, it is ensured that the surfaces of the metal-sprayed cores are basically consistent, and the quality of the metal-sprayed cores is improved. The utilization rate of metal spraying materials and the quality and reliability of the capacitor are improved.

Description

Technical Field

[0001] The present application relates to the field of gold spraying technology, and more specifically, to a method and device for detecting the quality of gold spraying. Background Art

[0002] With the continuous development of the power electronics industry, metallized film capacitors have been widely used at home and abroad. In China, metallized film capacitors have been developed for many years, and the quality of gold spraying is a key factor affecting the quality of capacitors. At present, the main process of gold spraying in metallized film capacitors at home and abroad is thermal spraying, including flame wire spraying process and arc wire spraying process. The flame wire spraying process uses a mixed combustion flame of oxygen and gas to melt the wire spraying material for spraying. The arc wire spraying process uses low voltage and high current to melt the wire. The two wires are positive and negative electrodes respectively. After melting under the action of electric energy, they are atomized into metal particles by compressed air for spraying. Both processes ultimately turn the gold spraying wire into metal particles and spray them on the end face of the capacitor core.

[0003] However, it is difficult to guarantee the quality of the gold spraying of these two processes, and the quality of gold spraying directly affects the utilization rate of the gold spraying materials.

[0004] Based on this, how to detect the gold spraying quality of the gold spraying machine to ensure that the surface of the core after gold spraying is basically consistent, improve the utilization rate of the gold spraying material and the quality and reliability of the capacitor, is a problem that needs attention. Summary of the invention

[0005] In view of the above problems, the present application provides a method and device for detecting the quality of gold spraying to ensure that the surface of the core after gold spraying is basically consistent, thereby improving the utilization rate of the gold spraying material and the quality and reliability of the capacitor.

[0006] In order to achieve the above objectives, the specific plan is proposed as follows:

[0007] A method for detecting the quality of gold spraying is applied to a data analysis processor of a gold spraying quality detection system, wherein the gold spraying quality detection system further comprises a data acquisition system and a step-by-step screening device, wherein the data acquisition system comprises a camera, wherein the camera is arranged at both ends of the step-by-step screening device, and the step-by-step screening device comprises a conveyor belt, wherein the conveyor belt is connected to the output end of the gold spraying machine;

[0008] The method includes:

[0009] Acquire the gold-sprayed end surface image of the core after the gold-spraying machine sprays gold, taken by the camera;

[0010] De-noising, enhancing and segmenting the core gold-sprayed end surface image to obtain a plurality of gold-sprayed area images;

[0011] For each gold-spraying area image, multiple types of gold-spraying features in the gold-spraying area image are extracted to detect various types of gold-spraying features to obtain detection results, and based on the various types of gold-spraying features of the gold-spraying area, a quality detection report of the gold-spraying area image is generated to determine whether the gold-spraying quality corresponding to the gold-spraying area image is qualified through the quality detection report;

[0012] All quality inspection reports of each gold-spraying area image are counted. If the gold-spraying area images with unqualified gold-spraying quality exceed the preset proportion of all gold-spraying area images, it is determined that the gold-spraying quality of the gold-spraying machine is unqualified; otherwise, it is determined that the gold-spraying quality of the gold-spraying machine is qualified.

[0013] Optionally, extracting multiple types of gold spraying features in the gold spraying area image to detect various types of gold spraying features to obtain detection results includes:

[0014] Analyzing the color distribution characteristics of the gold-spraying area image by a color analysis algorithm, and detecting whether the gold-spraying machine sprays gold uniformly according to the color distribution characteristics, so as to obtain a gold-spraying uniformity detection result of the gold-spraying machine of the gold-spraying area image;

[0015] Extracting texture features of the gold-spraying area image by a texture analysis algorithm, and detecting whether the gold-spraying surface of the gold-spraying machine is flat according to the texture features, so as to obtain a gold-spraying surface flatness detection result of the gold-spraying machine of the gold-spraying area image;

[0016] The glossiness of the gold-spraying area image is calculated by a glossiness analysis algorithm, and the glossiness of the gold-spraying machine is detected to be qualified according to the glossiness and the glossiness threshold of the preset gold-spraying template, so as to obtain the gold-spraying machine gold-spraying glossiness detection result of the gold-spraying area image;

[0017] Extracting the roughness of the gold-spraying area image, and detecting whether the gold-spraying particles of the gold-spraying machine are qualified according to the roughness and the roughness standard of the preset gold-spraying template, so as to obtain the gold-spraying particle detection result of the gold-spraying machine of the gold-spraying area image;

[0018] Detect whether there are scratches or bubbles in the gold-spraying area image to obtain the gold-spraying surface defect detection result of the gold-spraying machine of the gold-spraying area image.

[0019] Optionally, the gold spraying quality inspection system further includes a host computer storage system, and the host computer storage system is used to store the parameters of the preset gold spraying template and store all quality inspection reports of the images of each gold spraying area.

[0020] Optionally, the method further includes:

[0021] After determining that the gold spraying quality of the gold spraying machine is qualified, drawing a process capability index curve based on all quality inspection reports of the images of each gold spraying area;

[0022] A spraying parameter adjustment instruction is generated according to the process capability index curve, and the spraying parameters of the spraying machine are adjusted based on the spraying parameter adjustment instruction.

[0023] Optionally, the step-by-step screening device further includes a manipulator;

[0024] The method further includes:

[0025] The manipulator is driven to remove the core corresponding to the gold-spraying area image with unqualified gold-spraying quality.

[0026] Optionally, the step-by-step screening device further comprises a positioning baffle, and the positioning baffle is arranged on the conveyor belt;

[0027] The positioning baffle is used to block the cores sprayed with gold by the gold spraying machine, so that the cores sprayed with gold by the gold spraying machine are shaped into a group.

[0028] A gold spraying quality detection device, applied to a data analysis processor of a gold spraying quality detection system, the gold spraying quality detection system further comprising a data acquisition system and a step-by-step screening device, the data acquisition system comprising a camera, the camera being arranged at both ends of the step-by-step screening device, the step-by-step screening device comprising a conveyor belt, the conveyor belt being connected to the output end of the gold spraying machine;

[0029] The gold spraying quality detection device comprises:

[0030] A core gold-sprayed end surface image acquisition unit, used for acquiring an image of the core gold-sprayed end surface taken by the camera after the gold-spraying machine has sprayed gold;

[0031] A preprocessing unit, used for performing denoising, enhancement and segmentation processing on the core gold-sprayed end surface image to obtain a plurality of gold-sprayed area images;

[0032] A gold spraying quality detection unit is used to extract multiple types of gold spraying features in each gold spraying area image, so as to detect various types of gold spraying features to obtain detection results, and generate a quality detection report of the gold spraying area image based on the various types of gold spraying features of the gold spraying area, so as to determine whether the gold spraying quality corresponding to the gold spraying area image is qualified through the quality detection report;

[0033] The gold spraying quality identification unit is used to count all quality inspection reports of each gold spraying area image. If the gold spraying area images with unqualified gold spraying quality exceed the preset proportion of all gold spraying area images, it is determined that the gold spraying quality of the gold spraying machine is unqualified; otherwise, it is determined that the gold spraying quality of the gold spraying machine is qualified.

[0034] Optionally, the gold spraying quality detection unit includes:

[0035] A gold spraying uniformity detection unit is used to analyze the color distribution characteristics of the gold spraying area image through a color analysis algorithm, and detect whether the gold spraying machine sprays gold uniformly according to the color distribution characteristics, so as to obtain a gold spraying uniformity detection result of the gold spraying machine of the gold spraying area image;

[0036] A gold-spraying surface flatness detection unit is used to extract texture features of the gold-spraying area image through a texture analysis algorithm, and detect whether the gold-spraying surface of the gold-spraying machine is flat according to the texture features, so as to obtain a gold-spraying surface flatness detection result of the gold-spraying machine of the gold-spraying area image;

[0037] A gold spraying glossiness detection unit is used to calculate the glossiness of the gold spraying area image by a glossiness analysis algorithm, and detect whether the gold spraying glossiness of the gold spraying machine is qualified according to the glossiness and a preset glossiness threshold of the gold spraying template, so as to obtain a gold spraying glossiness detection result of the gold spraying machine of the gold spraying area image;

[0038] A gold-spraying particle detection unit is used to extract the roughness of the gold-spraying area image, and detect whether the gold-spraying particles of the gold-spraying machine are qualified according to the roughness and the roughness standard of the preset gold-spraying template, so as to obtain the gold-spraying particle detection result of the gold-spraying machine of the gold-spraying area image;

[0039] The gold-spraying surface defect detection unit is used to detect whether there are scratches or bubbles in the gold-spraying area image, so as to obtain the gold-spraying surface defect detection result of the gold-spraying machine of the gold-spraying area image.

[0040] Optionally, the gold spraying quality inspection system further includes a host computer storage system, and the host computer storage system is used to store the parameters of the preset gold spraying template and store all quality inspection reports of the images of each gold spraying area.

[0041] Optionally, the gold spraying quality detection device also includes:

[0042] A process capability index curve drawing unit is used to draw a process capability index curve based on all quality inspection reports of the images of each gold spraying area after determining that the gold spraying quality of the gold spraying machine is qualified;

[0043] The gold spraying parameter adjustment unit is used to generate a gold spraying parameter adjustment instruction according to the process capability index curve, and adjust the gold spraying parameters of the gold spraying machine based on the gold spraying parameter adjustment instruction.

[0044] Optionally, the step-by-step screening device further includes a manipulator;

[0045] The gold spraying quality detection device also includes:

[0046] The unqualified core removal unit is used to drive the robot to remove the core corresponding to the gold-spraying area image with unqualified gold-spraying quality.

[0047] Optionally, the step-by-step screening device further comprises a positioning baffle, and the positioning baffle is arranged on the conveyor belt;

[0048] The positioning baffle is used to block the cores sprayed with gold by the gold spraying machine, so that the cores sprayed with gold by the gold spraying machine are shaped into a group.

[0049] By means of the above-mentioned technical scheme, the present application obtains the gold-sprayed end face image of the core after gold-spraying by the gold-spraying machine taken by a camera, denoises, enhances and segments the gold-sprayed end face image of the core, and obtains multiple gold-sprayed area images. For each gold-sprayed area image, multiple types of gold-sprayed features in the gold-sprayed area image are extracted to detect various types of gold-sprayed features to obtain detection results, and a quality inspection report of the gold-sprayed area image is generated based on the various types of gold-sprayed features of the gold-sprayed area, so as to determine whether the gold-spraying quality corresponding to the gold-sprayed area image is qualified through the quality inspection report, and all quality inspection reports of each gold-sprayed area image are counted. If the number of gold-sprayed area images with unqualified gold-spraying quality exceeds a preset proportion of all gold-sprayed area images, it is determined that the gold-spraying quality of the gold-spraying machine is unqualified, otherwise it is determined that the gold-spraying quality of the gold-spraying machine is qualified. It can be seen that the gold spraying feature recognition and qualified detection of the image after gold spraying by the gold spraying machine can realize the gold spraying quality detection of the gold spraying machine, so that after the core is detected to be unqualified, the core can be dealt with or removed in time, thereby ensuring that the surface of the core after gold spraying is basically consistent, improving the utilization rate of the gold spraying material and the quality and reliability of the capacitor. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0051] Figure 1 A system layout diagram for implementing gold spraying quality inspection provided in an embodiment of the present application;

[0052] Figure 2 A schematic diagram of a process for implementing gold spraying quality inspection provided in an embodiment of the present application;

[0053] Figure 3 A diagram of the coarseness and fineness standard of the gold spraying particle size provided in the embodiment of the present application;

[0054] Figure 4A schematic diagram of the structure of a device for realizing gold spraying quality detection provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] Figure 1 A system layout diagram for realizing gold spraying quality detection provided in an embodiment of the present application, such as Figure 1 As shown, the gold spraying quality detection system may include a data analysis processor, a data acquisition system, a host computer storage system and a step-by-step screening device.

[0057] The data acquisition system may include a camera, which may be arranged at both ends of the step-by-step screening device. Specifically, the camera may be a high-definition camera, which has dust and high temperature resistance and can operate reliably for a long time in the environment of the gold spraying room. The high-definition camera can obtain the image information of the core after the gold spraying machine has sprayed gold.

[0058] The step-by-step screening device may include a conveyor belt, a step-by-step positioning baffle, a host computer and a manipulator. The input end of the conveyor belt is connected to the output end of the gold spraying machine, and the conveyor belt can neatly place the gold-sprayed cores, with the core cylindrical surface parallel to the horizontal plane and the gold-sprayed end faces facing both sides for easy data collection. The step-by-step positioning baffle can be set on the conveyor belt to block the cores sprayed by the gold spraying machine so that the cores sprayed by the gold spraying machine are formed into a group, which makes it stable and convenient for the camera to take high-definition pictures. The host computer collects data and processes data. The manipulator removes unqualified cores according to the instructions issued by the host computer.

[0059] The host computer storage system can store the parameters of the preset gold-spraying template and store the quality inspection data of the gold-spraying image to be inspected.

[0060] Among them, the parameters of the preset gold-spraying template may include gold-spraying uniformity parameters, gold-spraying surface flatness parameters, gold-spraying glossiness parameters, gold-spraying particle size parameters, gold-spraying surface defect parameters, etc.

[0061] The data analysis processor can quickly analyze and compare the collected core spraying end surface, determine the consistency with the sample data, and give a qualified or unqualified instruction to the stepping screening device after the judgment. Among them, the screening time should not exceed the fastest speed of the stepping motor.

[0062] based on Figure 1 The system architecture shown, Figure 2 A schematic diagram of a process for implementing a method for detecting the quality of gold spraying provided in an embodiment of the present application is shown. Figure 2 , the process may include:

[0063] Step S110, obtaining an image of the gold-sprayed end surface of the core after being sprayed with gold by the gold-spraying machine, taken by a camera.

[0064] Step S120, denoising, enhancing and segmenting the core gold-sprayed end surface image to obtain a plurality of gold-sprayed area images.

[0065] Specifically, image preprocessing techniques such as denoising, enhancement and segmentation (dividing the overall image into n*m partitions for subsequent processing) can be used to improve image quality and extract feature information of the gold-sprayed area, laying the foundation for subsequent analysis.

[0066] It can be understood that dividing the core gold-sprayed end surface image into multiple gold-sprayed area images facilitates quality inspection of each gold-sprayed area image, thereby making the gold-spraying quality inspection of the gold-spraying machine more accurate.

[0067] Step S130, for each gold-spraying area image, extract multiple types of gold-spraying features in the gold-spraying area image to detect various types of gold-spraying features to obtain detection results, and generate a quality inspection report for the gold-spraying area image based on the various types of gold-spraying features of the gold-spraying area, so as to determine whether the gold-spraying quality corresponding to the gold-spraying area image is qualified through the quality inspection report.

[0068] Specifically, the process of extracting multiple types of gold spraying features in the gold spraying area image to detect various types of gold spraying features to obtain detection results may include the following situations:

[0069] The first method is to analyze the color distribution characteristics of the gold-spraying area image through a color analysis algorithm, and detect whether the gold-spraying machine sprays gold uniformly based on the color distribution characteristics, so as to obtain the gold-spraying uniformity detection result of the gold-spraying machine in the gold-spraying area image.

[0070] Specifically, the color of the gold-spraying area can be analyzed by a color analysis algorithm according to the characteristic information of the gold-spraying area and the sample data to obtain the color distribution characteristics of the gold-spraying area, and whether the gold-spraying is uniform can be determined according to the color distribution characteristics.

[0071] The second method is to extract the texture features of the gold spraying area image through a texture analysis algorithm, and detect whether the gold spraying surface of the gold spraying machine is flat based on the texture features, so as to obtain the flatness detection result of the gold spraying surface of the gold spraying machine in the gold spraying area image.

[0072] Specifically, a texture analysis algorithm is used to extract texture features of the gold-sprayed area, and whether the gold-sprayed surface is flat is determined based on the texture features and sample data. If it is not flat, it is determined that the gold-sprayed surface is uneven.

[0073] The third method is to calculate the glossiness of the gold-spraying area image through a glossiness analysis algorithm, and detect whether the gold-spraying glossiness of the gold-spraying machine is qualified based on the glossiness and the glossiness threshold of the preset gold-spraying template, so as to obtain the gold-spraying glossiness detection result of the gold-spraying machine of the gold-spraying area image.

[0074] Specifically, the glossiness of the gold-spraying area is calculated by a glossiness analysis algorithm, and the quality of the gold-spraying is judged according to the glossiness and sample data. If the glossiness is lower than a preset glossiness threshold, it is judged that the gold-spraying glossiness is unqualified.

[0075] Fourthly, the roughness of the gold spraying area image is extracted, and the gold spraying particles of the gold spraying machine are detected to be qualified according to the roughness and the roughness standard of the preset gold spraying template, so as to obtain the gold spraying particle detection result of the gold spraying machine of the gold spraying area image.

[0076] Specifically, the roughness of the gold-sprayed area can be extracted, and the size of the gold-sprayed particles can be calculated based on the roughness and sample data. If the roughness does not meet the standard qualified sample data, the size of the gold-sprayed particles is unqualified.

[0077] It is understandable that the particle size of the gold spraying affects the quality of the gold spraying. If the particles are too large, the gold spraying material cannot reach the gap between the film layers and cannot contact the coating well. If the particles are too small, the gold spraying particles will enter the edge and cause a short circuit. The particle size and standard can be referred to Figure 3 shown.

[0078] Fifth, detect whether there are scratches or bubbles in the gold-spraying area image to obtain the gold-spraying surface defect detection result of the gold-spraying machine in the gold-spraying area image.

[0079] Specifically, defects such as scratches and bubbles on the gold-sprayed surface may be detected by a defect detection algorithm. If a defect is detected, it is determined to be a gold-sprayed surface defect.

[0080] Step S140, counting all quality inspection reports of each gold-spraying area image, if the gold-spraying area images with unqualified gold-spraying quality exceed the preset proportion of all gold-spraying area images, it is determined that the gold-spraying quality of the gold-spraying machine is unqualified, otherwise it is determined that the gold-spraying quality of the gold-spraying machine is qualified.

[0081] After all the quality inspection reports of the images of the respective gold-sprayed regions are obtained, the host computer storage system may store all the quality inspection reports of the images of the respective gold-sprayed regions.

[0082] Specifically, the preset ratio can be customized, such as 20%. If the unqualified area exceeds 20%, it is considered different from the standard version, and the gold spraying is unqualified. If the unqualified area is less than 20%, it is considered the same as the standard version and the gold spraying is qualified.

[0083] Furthermore, when a gold-spraying region image with unqualified gold-spraying quality is determined, the robot arm can be driven to remove the core corresponding to the gold-spraying region image with unqualified gold-spraying quality, thereby removing the unqualified core in time.

[0084] Furthermore, after determining that the gold spraying quality of the gold spraying machine is qualified, the gold spraying machine optimization process can be carried out to obtain a gold spraying machine with a higher gold spraying quality qualification rate. The optimization process may include:

[0085] S1. Based on all quality inspection reports of each gold-spraying area image, draw a process capability index curve.

[0086] Specifically, after drawing the process capability index curve, the drawn process capability index curve can be fed back to the production department to provide detailed quality data for process optimization and improvement.

[0087] S2. Generate a gold spraying parameter adjustment instruction according to the process capability index curve, and adjust the gold spraying parameters of the gold spraying machine based on the gold spraying parameter adjustment instruction.

[0088] The gold spraying quality detection method provided in the present embodiment obtains the gold spraying end face image of the core after gold spraying by the gold spraying machine taken by a camera, denoises, enhances and segments the core gold spraying end face image to obtain multiple gold spraying area images, and for each gold spraying area image, extracts multiple types of gold spraying features in the gold spraying area image to detect various types of gold spraying features to obtain detection results, and generates a quality detection report of the gold spraying area image based on the various types of gold spraying features of the gold spraying area, so as to determine whether the gold spraying quality corresponding to the gold spraying area image is qualified through the quality detection report, and counts all quality detection reports of each gold spraying area image. If the gold spraying area images with unqualified gold spraying quality exceed the preset proportion of all gold spraying area images, it is determined that the gold spraying quality of the gold spraying machine is unqualified, otherwise it is determined that the gold spraying quality of the gold spraying machine is qualified. It can be seen that the gold spraying feature recognition and qualified detection of the image after gold spraying by the gold spraying machine can realize the gold spraying quality detection of the gold spraying machine, so that after the core is detected to be unqualified, the core can be dealt with or removed in time, thereby ensuring that the surface of the core after gold spraying is basically consistent, improving the utilization rate of the gold spraying material and the quality and reliability of the capacitor.

[0089] The following is a description of a device for implementing gold spraying quality detection provided in an embodiment of the present application. The device for implementing gold spraying quality detection described below and the method for implementing gold spraying quality detection described above can be referenced to each other.

[0090] See also Figure 4 , Figure 4 A schematic diagram of the structure of a device for realizing gold spraying quality detection disclosed in an embodiment of the present application.

[0091] like Figure 4 As shown, the device may include:

[0092] A gold spraying quality detection device, applied to a data analysis processor of a gold spraying quality detection system, the gold spraying quality detection system further comprising a data acquisition system and a step-by-step screening device, the data acquisition system comprising a camera, the camera being arranged at both ends of the step-by-step screening device, the step-by-step screening device comprising a conveyor belt, the conveyor belt being connected to the output end of the gold spraying machine;

[0093] The gold spraying quality detection device comprises:

[0094] The core gold-sprayed end surface image acquisition unit 11 is used to acquire the core gold-sprayed end surface image taken by the camera after the gold-spraying machine sprays gold;

[0095] A preprocessing unit 12 is used to perform denoising, enhancement and segmentation processing on the core gold-sprayed end surface image to obtain a plurality of gold-sprayed area images;

[0096] The gold spraying quality detection unit 13 is used to extract multiple types of gold spraying features in each gold spraying area image, so as to detect various types of gold spraying features to obtain detection results, and generate a quality detection report of the gold spraying area image based on the various types of gold spraying features of the gold spraying area, so as to determine whether the gold spraying quality corresponding to the gold spraying area image is qualified through the quality detection report;

[0097] The gold spraying quality identification unit 14 is used to count all quality inspection reports of each gold spraying area image. If the gold spraying area images with unqualified gold spraying quality exceed the preset proportion of all gold spraying area images, it is determined that the gold spraying quality of the gold spraying machine is unqualified; otherwise, it is determined that the gold spraying quality of the gold spraying machine is qualified.

[0098] Optionally, the gold spraying quality detection unit includes:

[0099] A gold spraying uniformity detection unit is used to analyze the color distribution characteristics of the gold spraying area image through a color analysis algorithm, and detect whether the gold spraying machine sprays gold uniformly according to the color distribution characteristics, so as to obtain a gold spraying uniformity detection result of the gold spraying machine of the gold spraying area image;

[0100] A gold-spraying surface flatness detection unit is used to extract texture features of the gold-spraying area image through a texture analysis algorithm, and detect whether the gold-spraying surface of the gold-spraying machine is flat according to the texture features, so as to obtain a gold-spraying surface flatness detection result of the gold-spraying machine of the gold-spraying area image;

[0101] A gold spraying glossiness detection unit is used to calculate the glossiness of the gold spraying area image by a glossiness analysis algorithm, and detect whether the gold spraying glossiness of the gold spraying machine is qualified according to the glossiness and a preset glossiness threshold of the gold spraying template, so as to obtain a gold spraying glossiness detection result of the gold spraying machine of the gold spraying area image;

[0102] A gold-spraying particle detection unit is used to extract the roughness of the gold-spraying area image, and detect whether the gold-spraying particles of the gold-spraying machine are qualified according to the roughness and the roughness standard of the preset gold-spraying template, so as to obtain the gold-spraying particle detection result of the gold-spraying machine of the gold-spraying area image;

[0103] The gold-spraying surface defect detection unit is used to detect whether there are scratches or bubbles in the gold-spraying area image, so as to obtain the gold-spraying surface defect detection result of the gold-spraying machine of the gold-spraying area image.

[0104] Optionally, the gold spraying quality inspection system further includes a host computer storage system, and the host computer storage system is used to store the parameters of the preset gold spraying template and store all quality inspection reports of the images of each gold spraying area.

[0105] Optionally, the gold spraying quality detection device also includes:

[0106] A process capability index curve drawing unit is used to draw a process capability index curve based on all quality inspection reports of the images of each gold spraying area after determining that the gold spraying quality of the gold spraying machine is qualified;

[0107] The gold spraying parameter adjustment unit is used to generate a gold spraying parameter adjustment instruction according to the process capability index curve, and adjust the gold spraying parameters of the gold spraying machine based on the gold spraying parameter adjustment instruction.

[0108] Optionally, the step-by-step screening device further includes a manipulator;

[0109] The gold spraying quality detection device also includes:

[0110] The unqualified core removal unit is used to drive the robot to remove the core corresponding to the gold-spraying area image with unqualified gold-spraying quality.

[0111] Optionally, the step-by-step screening device further comprises a positioning baffle, and the positioning baffle is arranged on the conveyor belt;

[0112] The positioning baffle is used to block the cores sprayed with gold by the gold spraying machine, so that the cores sprayed with gold by the gold spraying machine are shaped into a group.

[0113] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0114] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can refer to each other.

[0115] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for detecting the quality of gold spraying, characterized in that: A data analysis processor applied to a gold spraying quality detection system, wherein the gold spraying quality detection system further comprises a data acquisition system and a step-by-step screening device, wherein the data acquisition system comprises cameras, wherein the cameras are arranged at both ends of the step-by-step screening device, and wherein the step-by-step screening device comprises a conveyor belt, wherein the conveyor belt is connected to the output end of the gold spraying machine; The method includes: Acquire the gold-sprayed end surface image of the core after the gold-spraying machine sprays gold, taken by the camera; De-noising, enhancing and segmenting the core gold-sprayed end surface image to obtain a plurality of gold-sprayed area images; For each gold-spraying area image, multiple types of gold-spraying features in the gold-spraying area image are extracted to detect various types of gold-spraying features to obtain detection results, and based on the various types of gold-spraying features of the gold-spraying area, a quality detection report of the gold-spraying area image is generated to determine whether the gold-spraying quality corresponding to the gold-spraying area image is qualified through the quality detection report; All quality inspection reports of each gold-spraying area image are counted. If the gold-spraying area images with unqualified gold-spraying quality exceed the preset proportion of all gold-spraying area images, it is determined that the gold-spraying quality of the gold-spraying machine is unqualified; otherwise, it is determined that the gold-spraying quality of the gold-spraying machine is qualified.

2. The method according to claim 1, characterized in that Extracting multiple types of gold spraying features in the gold spraying area image to detect various types of gold spraying features to obtain detection results, including: Analyzing the color distribution characteristics of the gold-spraying area image by a color analysis algorithm, and detecting whether the gold-spraying machine sprays gold uniformly according to the color distribution characteristics, so as to obtain a gold-spraying uniformity detection result of the gold-spraying machine of the gold-spraying area image; Extracting texture features of the gold-spraying area image by a texture analysis algorithm, and detecting whether the gold-spraying surface of the gold-spraying machine is flat according to the texture features, so as to obtain a gold-spraying surface flatness detection result of the gold-spraying machine of the gold-spraying area image; The glossiness of the gold-spraying area image is calculated by a glossiness analysis algorithm, and the glossiness of the gold-spraying machine is detected to be qualified according to the glossiness and the glossiness threshold of the preset gold-spraying template, so as to obtain the gold-spraying machine gold-spraying glossiness detection result of the gold-spraying area image; Extracting the roughness of the gold-spraying area image, and detecting whether the gold-spraying particles of the gold-spraying machine are qualified according to the roughness and the roughness standard of the preset gold-spraying template, so as to obtain the gold-spraying particle detection result of the gold-spraying machine of the gold-spraying area image; Detect whether there are scratches or bubbles in the gold-spraying area image to obtain the gold-spraying surface defect detection result of the gold-spraying machine of the gold-spraying area image.

3. The method according to claim 2, characterized in that The gold spraying quality inspection system also includes a host computer storage system, which is used to store the parameters of the preset gold spraying template and store all quality inspection reports of the images of each gold spraying area.

4. The method according to claim 1, characterized in that Also includes: After determining that the gold spraying quality of the gold spraying machine is qualified, drawing a process capability index curve based on all quality inspection reports of the images of each gold spraying area; A spraying parameter adjustment instruction is generated according to the process capability index curve, and the spraying parameters of the spraying machine are adjusted based on the spraying parameter adjustment instruction.

5. The method according to claim 1, characterized in that The step-by-step screening device also includes a manipulator; The method further includes: The manipulator is driven to remove the core corresponding to the gold-spraying area image with unqualified gold-spraying quality.

6. The method according to any one of claims 1 to 5, characterized in that: The step-by-step screening device further comprises a positioning baffle, which is arranged on the conveyor belt; The positioning baffle is used to block the cores sprayed with gold by the gold spraying machine, so that the cores sprayed with gold by the gold spraying machine are shaped into a group.

7. A gold spraying quality detection device, characterized in that: A data analysis processor applied to a gold spraying quality detection system, wherein the gold spraying quality detection system further comprises a data acquisition system and a step-by-step screening device, wherein the data acquisition system comprises cameras, wherein the cameras are arranged at both ends of the step-by-step screening device, and wherein the step-by-step screening device comprises a conveyor belt, wherein the conveyor belt is connected to the output end of the gold spraying machine; The gold spraying quality detection device comprises: A core gold-sprayed end surface image acquisition unit, used for acquiring an image of the core gold-sprayed end surface taken by the camera after the gold-spraying machine has sprayed gold; A preprocessing unit, used for performing denoising, enhancement and segmentation processing on the core gold-sprayed end surface image to obtain a plurality of gold-sprayed area images; A gold spraying quality detection unit is used to extract multiple types of gold spraying features in each gold spraying area image, so as to detect various types of gold spraying features to obtain detection results, and generate a quality detection report of the gold spraying area image based on the various types of gold spraying features of the gold spraying area, so as to determine whether the gold spraying quality corresponding to the gold spraying area image is qualified through the quality detection report; The gold spraying quality identification unit is used to count all quality inspection reports of each gold spraying area image. If the gold spraying area images with unqualified gold spraying quality exceed the preset proportion of all gold spraying area images, it is determined that the gold spraying quality of the gold spraying machine is unqualified; otherwise, it is determined that the gold spraying quality of the gold spraying machine is qualified.

8. The gold spraying quality detection device according to claim 7, characterized in that: The gold spraying quality detection unit comprises: A gold spraying uniformity detection unit is used to analyze the color distribution characteristics of the gold spraying area image through a color analysis algorithm, and detect whether the gold spraying machine sprays gold uniformly according to the color distribution characteristics, so as to obtain a gold spraying uniformity detection result of the gold spraying machine of the gold spraying area image; A gold-spraying surface flatness detection unit is used to extract texture features of the gold-spraying area image through a texture analysis algorithm, and detect whether the gold-spraying surface of the gold-spraying machine is flat according to the texture features, so as to obtain a gold-spraying surface flatness detection result of the gold-spraying machine of the gold-spraying area image; A gold spraying glossiness detection unit is used to calculate the glossiness of the gold spraying area image by a glossiness analysis algorithm, and detect whether the gold spraying glossiness of the gold spraying machine is qualified according to the glossiness and a preset glossiness threshold of the gold spraying template, so as to obtain a gold spraying glossiness detection result of the gold spraying machine of the gold spraying area image; A gold-spraying particle detection unit is used to extract the roughness of the gold-spraying area image, and detect whether the gold-spraying particles of the gold-spraying machine are qualified according to the roughness and the roughness standard of the preset gold-spraying template, so as to obtain the gold-spraying particle detection result of the gold-spraying machine of the gold-spraying area image; The gold-spraying surface defect detection unit is used to detect whether there are scratches or bubbles in the gold-spraying area image, so as to obtain the gold-spraying surface defect detection result of the gold-spraying machine of the gold-spraying area image.

9. The gold spraying quality detection device according to claim 8, characterized in that: The gold spraying quality inspection system also includes a host computer storage system, which is used to store the parameters of the preset gold spraying template and store all quality inspection reports of the images of each gold spraying area.

10. The gold spraying quality detection device according to claim 7, characterized in that: Also includes: A process capability index curve drawing unit is used to draw a process capability index curve based on all quality inspection reports of the images of each gold spraying area after determining that the gold spraying quality of the gold spraying machine is qualified; The gold spraying parameter adjustment unit is used to generate a gold spraying parameter adjustment instruction according to the process capability index curve, and adjust the gold spraying parameters of the gold spraying machine based on the gold spraying parameter adjustment instruction.

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